ChatGPT API and LangChain Power Retrieval-Augmented Generation Pipeline
Summary
ChatGPT API and LangChain enable a Retrieval-Augmented Generation pipeline that generates accurate responses by retrieving relevant context from local text files stored in a FAISS vector database, showcasing the power of integrating large language models with external data sources.
Key Points
- ChatGPT API and LangChain are utilized to build a Retrieval-Augmented Generation (RAG) pipeline
- RAG allows generating accurate responses by retrieving relevant information from external data sources
- The pipeline loads local text files, generates embeddings, stores them in a FAISS vector database, and retrieves relevant context for queries